skip to main content
10.1145/2737095.2742555acmconferencesArticle/Chapter ViewAbstractPublication PagescpsweekConference Proceedingsconference-collections
demonstration

Wearable sensor grid architecture for body posture and surface detection and rehabilitation

Authors Info & Claims
Published:13 April 2015Publication History

ABSTRACT

We propose a hybrid architecture of wired and wireless sensors for smart fabric with applications including body dynamics and shape monitoring and patient rehabilitation. Our system is capable of acquiring data from up to 200 on-body sensors with 50Hz sampling rate using conventional low-cost hardware. The sensing and data processing is done in real time and the results available on a smaptphone, tablet or pc in 3D visual form or as alerts. The user experience of the demo will include trying out smart clothing that is enabled with the shape sensing fabric and observing the body shape dynamics on-screen in real time.

References

  1. Barry Dworkin, Neal E Miller, Susan Dworkin, Niels Birbaumer, Michael L Brines, Saran Jonas, Edwards P Schwentker, and Jacob J Graham. Behavioral method for the treatment of idiopathic scoliosis. Proceedings of the National Academy of Sciences, 82(8): 2493--2497, 1985.Google ScholarGoogle ScholarCross RefCross Ref
  2. Manuel D Rigo, Mónica Villagrasa, and Dino Gallo. A specific scoliosis classification correlating with brace treatment: description and reliability. Scoliosis, 5(1): 1, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  3. Henk J Luinge and Peter H Veltink. Inclination measurement of human movement using a 3-d accelerometer with autocalibration. Neural Systems and Rehabilitation Engineering, IEEE Transactions on, 12(1): 112--121, 2004.Google ScholarGoogle Scholar
  4. Christina Goodvin, Edward J Park, Kevin Huang, and Kelly Sakaki. Development of a real-time three-dimensional spinal motion measurement system for clinical practice. Medical and Biological Engineering and Computing, 44(12): 1061--1075, 2006.Google ScholarGoogle ScholarCross RefCross Ref
  5. Wai-Yin Wong and Man-Sang Wong. Measurement of postural change in trunk movements using three sensor modules. Instrumentation and Measurement, IEEE Transactions on, 58(8): 2737--2742, 2009.Google ScholarGoogle Scholar

Index Terms

  1. Wearable sensor grid architecture for body posture and surface detection and rehabilitation

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          IPSN '15: Proceedings of the 14th International Conference on Information Processing in Sensor Networks
          April 2015
          430 pages
          ISBN:9781450334754
          DOI:10.1145/2737095

          Copyright © 2015 Owner/Author

          Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 13 April 2015

          Check for updates

          Qualifiers

          • demonstration

          Acceptance Rates

          Overall Acceptance Rate143of593submissions,24%

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader